5. A famous chef performs an experiment to see if there is a relationship between baking temperatures of chicken and the time it takes to bake the chicken. These are his results. (200° F, 5 hrs), (240° F, 4.6 hrs), (280°, 4.3 hrs), (320°, 3.5 hrs), (360°, 3 hrs), (400°, 2.4 hr) a) Construct a 2 column table with temperature representing the x-axis and time representing the y-axis. b) Construct a scatterplot. c) Use LINEST(y-col, x-col, true, true) to generate a table of 10 pieces of important data.

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5. A famous chef performs an experiment to see if there is a relationship between baking temperatures of chicken and
the time it takes to bake the chicken. These are his results.
(200° F, 5 hrs), (240° F, 4.6 hrs), (280°, 4.3 hrs), (320°, 3.5 hrs), (360°, 3 hrs), (400°, 2.4 hr)
a) Construct a 2 column table with temperature representing the x-axis and time representing the y-axis.
b) Construct a scatterplot.
c) Use LINEST(y-col, x-col, true, true) to generate a table of 10 pieces of important data.
d) Write the equation of best fit.
e) Write the correlation coefficient.
f) Which result looks like an outlier?
g) Test to see if it is an outlier.
Transcribed Image Text:5. A famous chef performs an experiment to see if there is a relationship between baking temperatures of chicken and the time it takes to bake the chicken. These are his results. (200° F, 5 hrs), (240° F, 4.6 hrs), (280°, 4.3 hrs), (320°, 3.5 hrs), (360°, 3 hrs), (400°, 2.4 hr) a) Construct a 2 column table with temperature representing the x-axis and time representing the y-axis. b) Construct a scatterplot. c) Use LINEST(y-col, x-col, true, true) to generate a table of 10 pieces of important data. d) Write the equation of best fit. e) Write the correlation coefficient. f) Which result looks like an outlier? g) Test to see if it is an outlier.
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